# mne.stats.summarize_clusters_stc¶

mne.stats.summarize_clusters_stc(clu, p_thresh=0.05, tstep=1.0, tmin=0, subject='fsaverage', vertices=None)[source]

Assemble summary SourceEstimate from spatiotemporal cluster results.

This helps visualizing results from spatio-temporal-clustering permutation tests.

Parameters
clutuple

The output from clustering permutation tests.

p_threshfloat

The significance threshold for inclusion of clusters.

tstepfloat

The time step between samples of the original STC, in seconds (i.e., 1 / stc.sfreq). Defaults to 1, which will yield a colormap indicating cluster duration measured in samples rather than seconds.

tmin

The time of the first sample.

subjectstr

The name of the subject.

vertices

The vertex numbers associated with the source space locations. Defaults to None. If None, equals [np.arange(10242), np.arange(10242)].

Returns
outinstance of SourceEstimate

A summary of the clusters. The first time point in this SourceEstimate object is the summation of all the clusters. Subsequent time points contain each individual cluster. The magnitude of the activity corresponds to the duration spanned by the cluster (duration units are determined by tstep).